Abstract: Methods and systems are described herein for preventing a user from terminating a service. Specifically, the media guidance application may generate for display content aimed at preventing the user from terminating a service in response to determining that a user is likely to terminate the service. For example, in response to determining that a particular media asset preferred by a user is accessible through another service, the media guidance application generates the content associated with preventing the user from terminating his or her current service (e.g., discounts to the cost of the current service, promotion or lists of media content available through the current service, etc.).

Abstract: Methods and systems are described herein for preventing a user from terminating a service. Specifically, the media guidance application may generate for display content aimed at preventing the user from terminating a service in response to determining that a user is likely to terminate the service. For example, in response to determining that a particular media asset preferred by a user is accessible through another service, the media guidance application generates the content associated with preventing the user from terminating his or her current service (e.g., discounts to the cost of the current service, promotion or lists of media content available through the current service, etc.).

Abstract: Methods and systems are described herein for preventing a user from terminating a service. Specifically, the media guidance application may generate for display content aimed at preventing the user from terminating a service in response to determining that a user is likely to terminate the service. For example, in response to determining that a particular media asset preferred by a user is accessible through another service, the media guidance application generates the content associated with preventing the user from terminating his or her current service (e.g., discounts to the cost of the current service, promotion or lists of media content available through the current service, etc.).

Abstract: Methods and systems are described herein for preventing a user from terminating a service. Specifically, the media guidance application may generate for display content aimed at preventing the user from terminating a service in response to determining that a user is likely to terminate the service. For example, in response to determining that a particular media asset preferred by a user is accessible through another service, the media guidance application generates the content associated with preventing the user from terminating his or her current service (e.g., discounts to the cost of the current service, promotion or lists of media content available through the current service, etc.).

Abstract: Methods and systems are disclosed for an optimization system that recommends amounts of resources for use in reaching viewers during a media asset. The optimization system, using control circuitry, receives a user input of a first value of a resource and determines a first rate at which a number of unique household viewers reached during a first media asset changes for the first value. The optimization system compares the first rate to a threshold rate and determines whether the first rate equals or exceeds the threshold rate. The optimization system, in response to determining that the first rate does not equal or exceed the threshold rate, recommends a second value to the user.

Abstract: Methods and systems for performing non-linear optimization of reach are described herein. The methods and systems may be used to compute the reach associated with different advertisement campaigns involving different combinations of spots. The method includes computing probabilities that a user will access a certain spot. The method includes retrieving a weight associated with the targeted user demographic. The method includes computing a first reach value using a first non-linear function, and a second reach value using a second non-linear function. The method includes comparing the two reach values to each other and to a predetermined reach threshold. The higher reach value larger than the predetermined reach threshold is selected and information associated with the selected reach value is provided to the user.

Abstract: Methods and systems for performing non-linear optimization of reach are described herein. The methods and systems may be used to compute the reach associated with different advertisement campaigns involving different combinations of spots. The method includes computing probabilities that a user will access a certain spot. The method includes retrieving a weight associated with the targeted user demographic. The method includes computing a first reach value using a first non-linear function, and a second reach value using a second non-linear function. The method includes comparing the two reach values to each other and to a predetermined reach threshold. The higher reach value larger than the predetermined reach threshold is selected and information associated with the selected reach value is provided to the user.

Abstract: Methods and systems are disclosed for an optimization system that recommends amounts of resources for use in reaching viewers during a media asset. The optimization system, using control circuitry, receives a user input of a first value of a resource and determines a first rate at which a number of unique household viewers reached during a first media asset changes for the first value. The optimization system compares the first rate to a threshold rate and determines whether the first rate equals or exceeds the threshold rate. The optimization system, in response to determining that the first rate does not equal or exceed the threshold rate, recommends a second value to the user.

Abstract: Methods and systems are described herein for a media guidance application that prevents a user from terminating a service by broadening criteria used for user recommendations in response to determining that a user is getting bored of the media content already consumed through the service. For example, the media guidance application may determine that the rate at which a user consumes media assets (e.g., through a service) is declining (e.g., indicating the user is losing interest). In response, the media guidance application recommends new media assets with characteristics (e.g., genre, subject matter, media asset series affiliation) that differs from the media assets previously consumed by the user.

Abstract: Methods and systems are also described herein for a media guidance application that generates for display content associated with preventing a user from terminating a service based on whether or not the user has purchased a particular number of media assets that are available only through the service. For example, in response to determining that a user, currently subscribed to a first service, has purchased a threshold number of media assets from the first service, the media guidance application may determine that it is unlikely that the user will terminate the use of the first service.

Abstract: Methods and systems are described herein for a media guidance application that generates for display content associated with preventing a user from terminating a service in response to determining, based on a biometric state of the user, that a user is likely to terminate the service. For example, in response to determining that a user is unhappy, not attentive, or bored when accessing content provided by the service, the media guidance application may generate for display discounts or other promotions for the service.

Abstract: Methods and systems are also described herein for a media guidance application that generates for display content associated with preventing a user from terminating a service based on whether or not the user has purchased a particular number of media assets that are available only through the service. For example, in response to determining that a user, currently subscribed to a first service, has purchased a threshold number of media assets from the first service, the media guidance application may determine that it is unlikely that the user will terminate the use of the first service.

Abstract: Methods and systems are described herein for a media guidance application that prevents a user from terminating a service by broadening criteria used for user recommendations in response to determining that a user is getting bored of the media content already consumed through the service. For example, the media guidance application may determine that the rate at which a user consumes media assets (e.g., through a service) is declining (e.g., indicating the user is losing interest). In response, the media guidance application recommends new media assets with characteristics (e.g., genre, subject matter, media asset series affiliation) that differs from the media assets previously consumed by the user.

Abstract: Systems and methods are described herein for determining a likelihood that a user will change a service. A media guidance application may identify a first service to which a user is subscribed. The media guidance application may receive information from a third-party data source corresponding to the user and identify, based on the information from the third-party data source, data indicating a negative interest in the first service. Based on the identified data, the media guidance application may calculate a likelihood that the user will change the first service.

Abstract: Methods and systems are described herein for a media guidance application that generates for display content associated with preventing a user from terminating a service in response to determining, based on a biometric state of the user, that a user is likely to terminate the service. For example, in response to determining that a user is unhappy, not attentive, or bored when accessing content provided by the service, the media guidance application may generate for display discounts or other promotions for the service.

Abstract: Methods and systems are described herein for preventing a user from terminating a service. Specifically, the media guidance application may generate for display content aimed at preventing the user from terminating a service in response to determining that a user is likely to terminate the service. For example, in response to determining that a particular media asset preferred by a user is accessible through another service, the media guidance application generates the content associated with preventing the user from terminating his or her current service (e.g., discounts to the cost of the current service, promotion or lists of media content available through the current service, etc.).

Abstract: Methods and systems are described herein for a media guidance application that generates for display content associated with preventing a user from terminating. For example, in response to determining that a user, currently subscribed to a first service, has subscribed to a second service, the media guidance application may compare the content accessible from each service. In response to determining that the services offer similar content, the media guidance application may generate for display discounts or other promotions for the first service.

Abstract: Systems and methods are described herein for generating a model to determine a likelihood that a user will change a service. A media guidance application may identify a first service to which a plurality of users are subscribed, receive information from a third-party data source for each of the plurality of users, identify, based on the respective information from the third-party data source, a user action performed by each of the plurality of users in relation to the first service, and identify for at least one of the plurality of users, based on the respective information from the third-party data source, a request to change the first service. Based on the identified user action and the identified request to change the first service, the media guidance application may generate a model to determine a likelihood that a user will change the first service.

Abstract: System and methods are presented for providing an interface to select advertising slots in an advertising campaign. In some embodiments, a user equipment device generates for display a plurality of cells in a grid arrangement. Each cell is associated with an advertising slot corresponding to a content source and a time period, and each cell includes a representation of an audience of the associated advertising slot. The user equipment device receives a user selection of a first cell of the plurality of cells, a function is executed with respect to a first advertising slot associated with the first cell.

Abstract: System and methods are presented for providing an interface to select advertising slots in an advertising campaign. In some embodiments, a user equipment device generates for display a plurality of cells in a grid arrangement. Each cell is associated with an advertising slot corresponding to a content source and a time period, and each cell includes a representation of an audience of the associated advertising slot. The user equipment device receives a user selection of a first cell of the plurality of cells, a function is executed with respect to a first advertising slot associated with the first cell.